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 "cells": [
  {
   "source": [
    "# 3.带拟合线的散点图"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "如果遇到在matplotlib和seaborn中无法显示中文或负号的问题可参考：https://www.jianshu.com/p/914b5f4ce6bf"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "最佳拟合线（或“趋势”线）是一条直线，它被认为是最能代表散点图上的数据的直线\n",
    "\n",
    "这条线线可以通过一些散点，不通过任何散点或通过所有散点\n",
    "\n",
    "拟合线可以帮助我们找出并不太明显的趋势"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## 3.1 自定义数据集上尝试"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### 3.1.1 导入需要的绘图库"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "source": [
    "### 3.1.2 简单的最佳拟合线"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "**sns.lmplot()**"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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     "output_type": "display_data",
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "X1 = np.linspace(0,10,50)\n",
    "y = 2 * X1 + 5 + np.random.randn(50) * 10\n",
    "\n",
    "plt.scatter(X1, y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# sns.lmplot方法必须使用 data+字符串的形式传入参数，且data为DataFrame\n",
    "data = pd.DataFrame({'X1':X1, 'y':y})\n",
    "gridobj = sns.lmplot('X1', 'y', data=data)"
   ]
  },
  {
   "source": [
    "### 3.1.3 将点分类拟合"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 402.375x360 with 1 Axes>",
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "c = [0]*10 + [1]*40\n",
    "data = pd.DataFrame({'X1':X1, 'y':y, 'c':c})\n",
    "gridobj = sns.lmplot('X1','y'\n",
    "                     , data=data\n",
    "                     , hue='c'\n",
    "                    #  , legend= False # 自带的legend只能显示参数c的数值，默认为True\n",
    "                    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 360x360 with 1 Axes>",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "plt.rcParams['font.sans-serif'] = ['Simhei']\n",
    "c = [0]*10 + [1]*40\n",
    "data = pd.DataFrame({'X1':X1, 'y':y, 'c':c})\n",
    "gridobj = sns.lmplot('X1','y'\n",
    "                     , data=data\n",
    "                     , hue='c'\n",
    "                     , legend= False # 自带的legend只能显示参数c的数值，图例是点，默认为True\n",
    "                    )\n",
    "plt.legend(['类别0', '类别1']) # 也可以使用plt.legend来设置图例，这里的图例是线\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "## 3.2 大神的原图"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### 3.2.1 认识数据"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"https://raw.githubusercontent.com/selva86/datasets/master/mpg_ggplot2.csv\", thousands=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "  manufacturer model  displ  year  cyl       trans drv  cty  hwy fl    class\n",
       "0         audi    a4    1.8  1999    4    auto(l5)   f   18   29  p  compact\n",
       "1         audi    a4    1.8  1999    4  manual(m5)   f   21   29  p  compact\n",
       "2         audi    a4    2.0  2008    4  manual(m6)   f   20   31  p  compact\n",
       "3         audi    a4    2.0  2008    4    auto(av)   f   21   30  p  compact\n",
       "4         audi    a4    2.8  1999    6    auto(l5)   f   16   26  p  compact"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>manufacturer</th>\n      <th>model</th>\n      <th>displ</th>\n      <th>year</th>\n      <th>cyl</th>\n      <th>trans</th>\n      <th>drv</th>\n      <th>cty</th>\n      <th>hwy</th>\n      <th>fl</th>\n      <th>class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>audi</td>\n      <td>a4</td>\n      <td>1.8</td>\n      <td>1999</td>\n      <td>4</td>\n      <td>auto(l5)</td>\n      <td>f</td>\n      <td>18</td>\n      <td>29</td>\n      <td>p</td>\n      <td>compact</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>audi</td>\n      <td>a4</td>\n      <td>1.8</td>\n      <td>1999</td>\n      <td>4</td>\n      <td>manual(m5)</td>\n      <td>f</td>\n      <td>21</td>\n      <td>29</td>\n      <td>p</td>\n      <td>compact</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>audi</td>\n      <td>a4</td>\n      <td>2.0</td>\n      <td>2008</td>\n      <td>4</td>\n      <td>manual(m6)</td>\n      <td>f</td>\n      <td>20</td>\n      <td>31</td>\n      <td>p</td>\n      <td>compact</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>audi</td>\n      <td>a4</td>\n      <td>2.0</td>\n      <td>2008</td>\n      <td>4</td>\n      <td>auto(av)</td>\n      <td>f</td>\n      <td>21</td>\n      <td>30</td>\n      <td>p</td>\n      <td>compact</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>audi</td>\n      <td>a4</td>\n      <td>2.8</td>\n      <td>1999</td>\n      <td>6</td>\n      <td>auto(l5)</td>\n      <td>f</td>\n      <td>16</td>\n      <td>26</td>\n      <td>p</td>\n      <td>compact</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "Index(['manufacturer', 'model', 'displ', 'year', 'cyl', 'trans', 'drv', 'cty',\n",
       "       'hwy', 'fl', 'class'],\n",
       "      dtype='object')"
      ]
     },
     "metadata": {},
     "execution_count": 6
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "name = [\"汽车制造商\",\"型号名称\",\"发动机排量(L)\",\"制造年份\",\"气缸数量\",\"手动/自动\"\n",
    "              ,\"驱动类型\",\"城市里程/加仑\",\"公路里程/加仑\",\"汽油种类\",\"车辆种类\"]\n",
    "\n",
    "#驱动类型：四轮，前轮，后轮\n",
    "#能源种类：汽油，柴油，用电等等\n",
    "#车辆种类：皮卡，SUV，小型，中型等等\n",
    "#城市里程/加仑，公路里程/加仑：表示使用没加仑汽油能够跑的英里数，所以这个数值越大代表汽车越节能"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "[('manufacturer', '汽车制造商'),\n",
       " ('model', '型号名称'),\n",
       " ('displ', '发动机排量(L)'),\n",
       " ('year', '制造年份'),\n",
       " ('cyl', '气缸数量'),\n",
       " ('trans', '手动/自动'),\n",
       " ('drv', '驱动类型'),\n",
       " ('cty', '城市里程/加仑'),\n",
       " ('hwy', '公路里程/加仑'),\n",
       " ('fl', '汽油种类'),\n",
       " ('class', '车辆种类')]"
      ]
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "# 每个字段对应的中文\n",
    "[*zip(df.columns.values, np.array(name))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "4    81\n",
       "6    79\n",
       "8    70\n",
       "5     4\n",
       "Name: cyl, dtype: int64"
      ]
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "source": [
    "# 汽缸数量都有哪些\n",
    "df.cyl.value_counts()"
   ]
  },
  {
   "source": [
    "### 3.2.2 绘制图像"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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     },
     "metadata": {}
    }
   ],
   "source": [
    "# 准备数据\n",
    "df_select = df.loc[df.cyl.isin([4,8]),:]\n",
    "\n",
    "# 绘制图像\n",
    "sns.set_style('white') # 设立风格\n",
    "\n",
    "gridobj = sns.lmplot(\n",
    "                     x='displ' # 横坐标：发动机排量\n",
    "                     , y='hwy' # 纵坐标：公路里程/加仑\n",
    "                     ,data=df_select\n",
    "                     , hue='cyl' # 分类\n",
    "                     , height=8  # 图像的高度\n",
    "                     , aspect=1.6 # 图像的纵横比，aspect*height就是图像长度\n",
    "                     , palette='tab10' # 色板\n",
    "                     , legend=False\n",
    "                     # 其他绘图参数\n",
    "                     , scatter_kws=dict(\n",
    "                                         s=60   # 点的大小\n",
    "                                         , linewidths=.7 # 线宽\n",
    "                                         , edgecolors='black' # 边框颜色\n",
    "                                        )\n",
    "                     )\n",
    "\n",
    "# 装饰图像\n",
    "gridobj.set(xlim=(0.5, 7.5), ylim=(0, 50))\n",
    "plt.rcParams['font.sans-serif'] = ['Simhei']\n",
    "plt.xlabel('发动机排量(L)', fontsize=20)\n",
    "plt.ylabel('公里路程/加仑', fontsize=20)\n",
    "plt.xticks(fontsize=16)\n",
    "plt.yticks(fontsize=16)\n",
    "plt.legend([\"汽缸数量：4\",'汽缸数量：8'], fontsize=22)\n",
    "plt.title(\"Scatterplot with line of best fit grouped by number of cylinders\", fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# 汽缸数量一共有4种类型\n",
    "# 一图四线\n",
    "# 准备数据\n",
    "df_select = df.loc[df.cyl.isin([4,8]),:]\n",
    "\n",
    "# 绘制图像\n",
    "sns.set_style('white') # 设立风格\n",
    "\n",
    "gridobj = sns.lmplot(\n",
    "                     x='displ' # 横坐标：发动机排量\n",
    "                     , y='hwy' # 纵坐标：公路里程/加仑\n",
    "                    #  ,data=df_select\n",
    "                     , data=df  # 使用全部的数据\n",
    "                     , hue='cyl' # 分类\n",
    "                     , robust=True\n",
    "                     , palette='tab10' # 色板\n",
    "                     , legend=False\n",
    "                     # 其他绘图参数\n",
    "                     , scatter_kws=dict(\n",
    "                                         s=60   # 点的大小\n",
    "                                         , linewidths=.7 # 线宽\n",
    "                                         , edgecolors='black' # 边框颜色\n",
    "                                        )\n",
    "                     )\n",
    "\n",
    "# 装饰图像，xlabel和ylabel写在这里才能对每个子图都有效\n",
    "gridobj.set(xlim=(0.5, 7.5), ylim=(0, 50), xlabel='排量', ylabel='公里路程/加仑')\n",
    "plt.rcParams['font.sans-serif'] = ['Simhei']\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "### 3.2.3 让每个类型的散点显示在不同的图像上\n",
    "\n",
    "**重要参数**\n",
    "\n",
    "col：表示按照这个特征中的分类绘制图像，并且一个类别绘制一张图一条拟合线，排成一行\n",
    "\n",
    "col_wrap：当参数col有效的时候有效，表示每行最多显示col_wrap个图"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "#### 一图一线 在一排"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 2016x504 with 4 Axes>",
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     },
     "metadata": {}
    }
   ],
   "source": [
    "# 准备数据\n",
    "df_select = df.loc[df.cyl.isin([4,8]),:]\n",
    "\n",
    "# 绘制图像\n",
    "sns.set_style('white') # 设立风格\n",
    "\n",
    "gridobj = sns.lmplot(\n",
    "                     x='displ' # 横坐标：发动机排量\n",
    "                     , y='hwy' # 纵坐标：公路里程/加仑\n",
    "                    #  ,data=df_select\n",
    "                     , data=df  # 使用全部的数据\n",
    "                     , hue='cyl' # 分类\n",
    "                     , height=7  # 图像的高度\n",
    "                     , robust=True\n",
    "                     , palette='tab10' # 色板\n",
    "                     , legend=True\n",
    "                     , col='cyl' # 表示按照这个特征中的分类绘制图像，并且一个类别绘制一张图一条拟合线，排成一行\n",
    "                     # 其他绘图参数\n",
    "                     , scatter_kws=dict(\n",
    "                                         s=60   # 点的大小\n",
    "                                         , linewidths=.7 # 线宽\n",
    "                                         , edgecolors='black' # 边框颜色\n",
    "                                        )\n",
    "                     )\n",
    "\n",
    "# 装饰图像，xlabel和ylabel写在这里才能对每个子图都有效\n",
    "gridobj.set(xlim=(0.5, 7.5), ylim=(0, 50), xlabel='排量', ylabel='公里路程/加仑')\n",
    "plt.rcParams['font.sans-serif'] = ['Simhei']\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "#### 一图一线，一排三图\n",
    "\n",
    "这里用col_wrap参数来指定一行有多少图"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1008x1008 with 4 Axes>",
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# 准备数据\n",
    "df_select = df.loc[df.cyl.isin([4,8]),:]\n",
    "\n",
    "# 绘制图像\n",
    "sns.set_style('white') # 设立风格\n",
    "\n",
    "gridobj = sns.lmplot(\n",
    "                     x='displ' # 横坐标：发动机排量\n",
    "                     , y='hwy' # 纵坐标：公路里程/加仑\n",
    "                    #  ,data=df_select\n",
    "                     , data=df  # 使用全部的数据\n",
    "                     , hue='cyl' # 分类\n",
    "                     , height=7  # 图像的高度\n",
    "                     , robust=True\n",
    "                     , palette='tab10' # 色板\n",
    "                     , legend=False\n",
    "                     , col='cyl' # 表示按照这个特征中的分类绘制图像，并且一个类别绘制一张图一条拟合线，排成一行\n",
    "                     , col_wrap=2 # 当参数col有效的时候有效，表示每行最多显示col_wrap个图\n",
    "                     # 其他绘图参数\n",
    "                     , scatter_kws=dict(\n",
    "                                         s=60   # 点的大小\n",
    "                                         , linewidths=.7 # 线宽\n",
    "                                         , edgecolors='black' # 边框颜色\n",
    "                                        )\n",
    "                     )\n",
    "\n",
    "# 装饰图像，xlabel和ylabel写在这里才能对每个子图都有效\n",
    "gridobj.set(xlim=(0.5, 7.5), ylim=(0, 50), xlabel='排量', ylabel='公里路程/加仑')\n",
    "plt.rcParams['font.sans-serif'] = ['Simhei']\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}